LattePanda Mu Ultra x86 Compute Module

Introduction

The DFRobot DFR1295 LattePanda Mu Ultra is a credit-card-sized embedded x86 compute module built around Intel’s Core Ultra 7 Processor 256V. Part of the LattePanda Mu series, it combines CPU, graphics, and dedicated neural-processing hardware in a compact module aimed at local AI and embedded compute tasks.

Its technically notable feature is the integration of an Intel Arc 140V GPU and Intel AI Boost NPU alongside the Core Ultra processor. DFRobot specifies up to 115 TOPS of combined AI performance, positioning the module for workloads that benefit from on-device acceleration rather than relying solely on a remote service.

What it does

The LattePanda Mu Ultra provides an x86 computing platform with 16G RAM and heterogeneous processing resources:

• Intel Core Ultra 7 Processor 256V for general-purpose computing and embedded software workloads.
• Integrated Intel Arc 140V GPU for graphics-capable and GPU-accelerated processing tasks.
• Intel AI Boost NPU for AI workloads that can use dedicated neural acceleration.
• Up to 115 TOPS combined AI performance across its integrated compute resources.

As an embedded x86 compute module, the DFR1295 is intended to supply the processing core for a larger system rather than serving as a complete standalone end product. Its combination of CPU, GPU, and NPU resources can support systems that need conventional x86 software compatibility alongside local AI processing capability.

Applications

Realistic uses for the module include:

• Edge AI systems performing local inference
• Robotics controllers requiring embedded x86 compute
• Machine-vision or image-processing platforms using integrated GPU and AI resources
• Compact industrial or embedded computing systems
• Intelligent devices that combine general-purpose applications with accelerated AI workloads
• Development platforms for software targeting Intel Core Ultra, Arc graphics, and Intel AI Boost hardware

Design considerations

The DFR1295 integrates 16G RAM, so memory capacity is fixed at the module level in the supplied product information. System designers should account for that capacity when sizing operating-system, application, graphics, and local AI workloads.

The module’s architecture includes separate CPU, GPU, and NPU resources. Software integration should therefore consider which workload stages can use the Intel Arc 140V GPU or Intel AI Boost NPU, rather than treating the quoted combined AI figure as a capability of a single processing block.

The available data identifies the product as bulk packaged but does not specify its connector arrangement, power requirements, mechanical mounting method, or host-board interface. Those details should be verified before designing a carrier board or enclosure.

Availability and further information

Further product information is available through the Mouser Electronics source link and the DFRobot manufacturer link provided on this page. Consult those resources for current technical documentation and integration details.